\name{plot.gcdnet}
\alias{plot.gcdnet}
\title{Plot coefficients from a "gcdnet" object}
\description{
Produces a coefficient profile plot of the coefficient paths for a
fitted \code{\link{gcdnet}} object. This function is modified based on the \code{plot} function from the \code{glmnet} package.
}
\usage{
\method{plot}{gcdnet}(x, xvar = c("norm", "lambda"), color = FALSE, label = FALSE, ...)
}
\arguments{
		\item{x}{fitted \code{\link{gcdnet}} model}
		\item{xvar}{what is on the X-axis. \code{"norm"} plots against the
		L1-norm of the coefficients, \code{"lambda"} against the log-lambda
		sequence.}
		\item{color}{if \code{TRUE}, plot the curves with rainbow colors. \code{FALSE} is gray colors. Default is \code{FALSE}}
		\item{label}{if \code{TRUE}, label the curves with variable sequence numbers. Default is \code{FALSE}}
		\item{\dots}{other graphical parameters to plot}
}
\details{
A coefficient profile plot is produced.
}
\author{Yi Yang, Yuwen Gu and Hui Zou\cr
Maintainer: Yi Yang  <yiyang@umn.edu>}
\references{
Yang, Y. and Zou, H. (2012), "An Efficient Algorithm for Computing The HHSVM and Its Generalizations," \emph{Journal of Computational and Graphical Statistics}, 22, 396-415.\cr
BugReport: \url{http://code.google.com/p/gcdnet/}\cr


Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized
linear models via coordinate descent," \emph{Journal of Statistical Software, 33, 1.}\cr
\url{http://www.jstatsoft.org/v33/i01/}}

\examples{
data(FHT)
m1 = gcdnet(x=FHT$x,y=FHT$y)
par(mfrow=c(1,3))
plot(m1) # plots against the L1-norm of the coefficients
plot(m1,xvar="lambda",label=TRUE) # plots against the log-lambda sequence
plot(m1,color=TRUE)
}
% Add one or more standard keywords, see file 'KEYWORDS' in the
% R documentation directory.
\keyword{models}
\keyword{regression}
